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| Criterion | ![]() Product Discovery Kano Model | ![]() Decision Making Pre-Mortem | ![]() Decision Making Decision Tree |
|---|---|---|---|
Purposedifferent | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | 1-2 Tage | 20–45 min | 30-90 min |
Participantsdifferent | 10-50 | Small cross-functional group | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Risk list, Mitigation plan, Assumption log | Decision Tree, Option Map, Assumption List |
Tagsno overlap | SatisfactionPrioritizationCustomer | RiskDecisionFailurePlanning | DecisionTreeOptions |
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